Pieces of the Action


Book Description

An inside account of one of the most innovative R&D ecosystems of the 20th century, from the man who was at the center of it all. Over a 60-year career in public affairs, Vannevar Bush—engineer, inventor, educator, and public face of government-funded science—sought to eliminate roadblocks to innovation in science and technology. In Pieces of the Action, a collection of memoir-essays, he reflects on his role in shaping the policies and organizations that powered American research and development in the mid-20th century. As the architect and administrator of an R&D pipeline that efficiently coordinated the work of civilian scientists and the military during World War II, he was central to catalyzing the development of radar and the proximity fuze, the mass production of penicillin, and the initiation of the Manhattan Project. Pieces of the Action offers his hard-won lessons on how to operate and manage effectively within complex organizations, build bridges between people and disciplines, and drive ambitious, unprecedented programs to fruition. With wry humor, Bush also shares personal observations and anecdotes—pelting cows with apples, poking fun at servicemen who tried to keep his own invention secret from him—that offer a glimpse of the personality behind the accolades. Originally published in 1970, this updated edition includes 15 archival images from Bush’s life and career and a foreword from entrepreneur and Idea Machines podcast host Ben Reinhardt that contextualizes the lessons Pieces of the Action can offer to contemporary readers: that change depends both on heroic individuals and effective organizations; that a leader’s job is one of coordination; and that the path from idea to innovation is a long and winding one, inextricably bound to those involved—those enduring figures who have a piece of the action.




Start with Why


Book Description

The inspirational bestseller that ignited a movement and asked us to find our WHY Discover the book that is captivating millions on TikTok and that served as the basis for one of the most popular TED Talks of all time—with more than 56 million views and counting. Over a decade ago, Simon Sinek started a movement that inspired millions to demand purpose at work, to ask what was the WHY of their organization. Since then, millions have been touched by the power of his ideas, and these ideas remain as relevant and timely as ever. START WITH WHY asks (and answers) the questions: why are some people and organizations more innovative, more influential, and more profitable than others? Why do some command greater loyalty from customers and employees alike? Even among the successful, why are so few able to repeat their success over and over? People like Martin Luther King Jr., Steve Jobs, and the Wright Brothers had little in common, but they all started with WHY. They realized that people won't truly buy into a product, service, movement, or idea until they understand the WHY behind it. START WITH WHY shows that the leaders who have had the greatest influence in the world all think, act and communicate the same way—and it's the opposite of what everyone else does. Sinek calls this powerful idea The Golden Circle, and it provides a framework upon which organizations can be built, movements can be led, and people can be inspired. And it all starts with WHY.




Machine Learning in Action


Book Description

Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of Contents PART 1 CLASSIFICATION Machine learning basics Classifying with k-Nearest Neighbors Splitting datasets one feature at a time: decision trees Classifying with probability theory: naïve Bayes Logistic regression Support vector machines Improving classification with the AdaBoost meta algorithm PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION Predicting numeric values: regression Tree-based regression PART 3 UNSUPERVISED LEARNING Grouping unlabeled items using k-means clustering Association analysis with the Apriori algorithm Efficiently finding frequent itemsets with FP-growth PART 4 ADDITIONAL TOOLS Using principal component analysis to simplify data Simplifying data with the singular value decomposition Big data and MapReduce




A Piece of the Action


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The Heavy Pieces in Action


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Action


Book Description

From the master of Story, Dialogue, and Character, ACTION offers writers the keys to propulsive storytelling. ACTION explores the ways that a modern-day writer can successfully tell an action story that not only stands apart, but wins the war on clichés. Teaming up with the former co-host of The Story Toolkit, Bassim El-Wakil, legendary story lecturer Robert McKee guides writers to award-winning originality by deconstructing the action genre, illuminating the challenges, and, more importantly, demonstrating how to master the demands of plot with surprising beats of innovation and ingenuity. Topics include: Understanding the Four Core Elements of Action Creating the Action Cast Hook, Hold, Pay Off: Design in Action The Action Macguffin Action Set Pieces The Sixteen Action Subgenres A must-add to the McKee storytelling library, ACTION illustrates the principles of narrative drive with precision and clarity by referencing the most popular action movies of our time including: Die Hard, The Star Wars Saga, Dark Knight, The Matrix, and Avengers: Endgame.




Pieces of the Action


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Paper Trade Journal


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The Works of John Dryden, Volume I


Book Description

This volume contains the poems of Dryden extending from 1649 to 1680. Along with the poems of Dryden and associated extensive commentaries and textual notes from the editors, this volume contains the dramatic prologues and epilogues Dryden wrote for the plays of other writers from this period of time.




Cognitive Control of Action


Book Description

In the World Library of Psychologists series, international experts present career-long collections of what they judge to be their finest pieces—extracts from books, key articles, salient research findings, and their major practical theoretical contributions. In this volume, David A. Rosenbaum reflects on his distinguished career as an eminent scholar in the field of human perception and performance. Offering a unique perspective on the cognitive psychology of physical action control, the book charts Rosenbaum's development as one of the pioneers of the field. Featuring a newly written introduction in which the author offers a unique insight into his initial work on the movement precuing technique, along with coverage of other phenomena and models related to the translation of mental life into physical behavior, the book is essential reading for students and researchers interested in human perception, motor control, and embodiment.